A novel risk score model based on seven protein-coding genes and three pseudogenes predicts overall survival in acute myeloid leukemia
Marco Antonio Fonseca-Montaño, Juan Luis Ontiveros-Austria, J. Alejandro Madrigal, Roberta Demichelis‐Gómez, Laura Gómez-Romero, Iris Karina Madera-Salcedo, Florencia Rosetti, José Carlos Crispín
This study develops a risk score model using seven protein-coding genes and three pseudogenes to predict overall survival in acute myeloid leukemia, showing significant survival differences between risk groups.
bioRxiv · Jun 15, 2026 · PreprintCancer Biology